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{
  "_name_or_path": "google-bert/bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Arrays & Hashing",
    "1": "Two Pointers",
    "2": "Sliding Window",
    "3": "Stack",
    "4": "Binary Search",
    "5": "Linked List",
    "6": "Trees",
    "7": "Heap (Priority Queue)",
    "8": "Backtracking",
    "9": "Tries",
    "10": "Graphs",
    "11": "Dynamic Programming",
    "12": "Greedy",
    "13": "Intervals",
    "14": "Math",
    "15": "Bit Manipulation"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Arrays & Hashing": 0,
    "Backtracking": 8,
    "Binary Search": 4,
    "Bit Manipulation": 15,
    "Dynamic Programming": 11,
    "Graphs": 10,
    "Greedy": 12,
    "Heap (Priority Queue)": 7,
    "Intervals": 13,
    "Linked List": 5,
    "Math": 14,
    "Sliding Window": 2,
    "Stack": 3,
    "Trees": 6,
    "Tries": 9,
    "Two Pointers": 1
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.44.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}